Web and Big Data. APWeb-WAIM 2021 International Workshops: KGMA 2021, SemiBDMA 2021, DeepLUDA 2021, Guangzhou, China, August 23–25, 2021, Revised Selected Papers
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Bibliographic Details
Other Authors: Gao, Yunjun (Editor), Liu, An (Editor), Tao, Xiaohui (Editor), Chen, Junying (Editor)
Format: Electronic eBook
Language:English
Published: Singapore Springer Singapore 2021
Singapore Springer
Edition:1st ed. 2021
Series:Communications in Computer and Information Science 1505
Subjects:
Links:https://doi.org/10.1007/978-981-16-8143-1
https://doi.org/10.1007/978-981-16-8143-1
https://doi.org/10.1007/978-981-16-8143-1
https://doi.org/10.1007/978-981-16-8143-1
https://doi.org/10.1007/978-981-16-8143-1
https://doi.org/10.1007/978-981-16-8143-1
https://doi.org/10.1007/978-981-16-8143-1
https://doi.org/10.1007/978-981-16-8143-1
https://doi.org/10.1007/978-981-16-8143-1
https://doi.org/10.1007/978-981-16-8143-1
https://doi.org/10.1007/978-981-16-8143-1
https://doi.org/10.1007/978-981-16-8143-1
https://doi.org/10.1007/978-981-16-8143-1
https://doi.org/10.1007/978-981-16-8143-1
https://doi.org/10.1007/978-981-16-8143-1
https://doi.org/10.1007/978-981-16-8143-1
https://doi.org/10.1007/978-981-16-8143-1
https://doi.org/10.1007/978-981-16-8143-1
https://doi.org/10.1007/978-981-16-8143-1
https://doi.org/10.1007/978-981-16-8143-1
https://doi.org/10.1007/978-981-16-8143-1
https://doi.org/10.1007/978-981-16-8143-1
https://doi.org/10.1007/978-981-16-8143-1
Physical Description:1 Online-Ressource (XIV, 129 p. 55 illus., 38 illus. in color)
ISBN:9789811681431
ISSN:1865-0937
DOI:10.1007/978-981-16-8143-1

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